Piyush Kumar 's Projects
Archive of all the work. A website with simple-est UI.
my blog
Repository to store various important algorithms in multiple languages
The 3rd edition of course.fast.ai
All the important patterns, series, theorems for efficient mathematical computation and logical problems related to competitive programming.
Dump of different CSS compoenents
Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure Python very concisely, which eliminate the need to learn another template language, and to take advantage of the more powerful features of Python.
The fastai book, published as Jupyter Notebooks
Collection of practices that are followed in feature engineering.
Converting Kaggle dataset into a ML model for deployment.
Predicting gender (boy or girl) using neural networks.
A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ā to support this project! āØ
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
:bulb: A simple NPM Package which returns random Inspirational Quotes. Get your daily quote and stay motivated! :v: :cherry_blossom:
Just another simple To-Do List using JS.
All the competitions I have taken part in.
This repository is created for Karnataka State Police Hackathon 2023 - submission collection.
linear regression implementation from scratch to show the working of gradient descent optimization algorithm on some random dataset
Free and open-source software that allows users to set animated desktop wallpapers and screensavers.
Javascript-based music player. Play & chill...!!
This repo consists of the various practices and concepts that we come across in the domain of DS and ML
A micro-blog to log everything I do.
Bare minimum of all the libraries you need to know before getting started with datascience. [will be adding more]
My SQL
Some implementation and use cases of Naive Bayes.
Search Spotify with voice commands